Frank Fleischmann

1.8k total citations · 1 hit paper
39 papers, 1.2k citations indexed

About

Frank Fleischmann is a scholar working on Plant Science, Molecular Biology and Biophysics. According to data from OpenAlex, Frank Fleischmann has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 12 papers in Molecular Biology and 6 papers in Biophysics. Recurrent topics in Frank Fleischmann's work include Plant Pathogens and Resistance (15 papers), Plant responses to elevated CO2 (12 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Frank Fleischmann is often cited by papers focused on Plant Pathogens and Resistance (15 papers), Plant responses to elevated CO2 (12 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Frank Fleischmann collaborates with scholars based in Germany, United States and Brazil. Frank Fleischmann's co-authors include W. Oßwald, Rainer Matyssek, Thorsten E. E. Grams, Susanne Stich, Michael Schloter, Werner Heller, Manish K. Aneja, Günther Bahnweg, Daniel Kuptz and Jean Charles Munch and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Frank Fleischmann

38 papers receiving 1.1k citations

Hit Papers

Field-resolved infrared spectroscopy of biological systems 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frank Fleischmann Germany 19 718 218 197 167 166 39 1.2k
Kenji Fukuda Japan 22 1.2k 1.6× 155 0.7× 282 1.4× 240 1.4× 403 2.4× 84 1.8k
Paul L. Weber United States 22 651 0.9× 624 2.9× 327 1.7× 76 0.5× 158 1.0× 40 1.8k
Carel W. Windt Germany 19 901 1.3× 139 0.6× 594 3.0× 24 0.1× 80 0.5× 33 1.4k
Enno Brinckmann Germany 18 560 0.8× 235 1.1× 153 0.8× 29 0.2× 49 0.3× 47 887
J. Thiéry France 17 153 0.2× 283 1.3× 201 1.0× 33 0.2× 183 1.1× 36 931
Albert W. Johnson United States 19 585 0.8× 272 1.2× 132 0.7× 21 0.1× 204 1.2× 58 1.3k
J. Torres‐Pereira Portugal 13 594 0.8× 150 0.7× 146 0.7× 25 0.1× 67 0.4× 24 721
Winfried S. Peters United States 26 1.4k 1.9× 572 2.6× 146 0.7× 60 0.4× 63 0.4× 81 1.8k
Darlene Southworth United States 23 952 1.3× 688 3.2× 83 0.4× 151 0.9× 80 0.5× 71 1.5k
P. E. H. MINCHIN New Zealand 25 1.8k 2.4× 342 1.6× 357 1.8× 20 0.1× 61 0.4× 73 2.0k

Countries citing papers authored by Frank Fleischmann

Since Specialization
Citations

This map shows the geographic impact of Frank Fleischmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Frank Fleischmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Fleischmann more than expected).

Fields of papers citing papers by Frank Fleischmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Fleischmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Frank Fleischmann. The network helps show where Frank Fleischmann may publish in the future.

Co-authorship network of co-authors of Frank Fleischmann

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Fleischmann. A scholar is included among the top collaborators of Frank Fleischmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank Fleischmann. Frank Fleischmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kepesidis, Kosmas V., Frank Fleischmann, Ina Koch, et al.. (2025). Assessing lung cancer progression and survival with infrared spectroscopy of blood serum. BMC Medicine. 23(1). 101–101.
2.
Fleischmann, Frank, et al.. (2024). Probing Blood Plasma Protein Glycosylation with Infrared Spectroscopy. Analytical Chemistry. 9 indexed citations
3.
Huber, Marinus, et al.. (2024). The Perils of Molecular Interpretations from Vibrational Spectra of Complex Samples. Angewandte Chemie International Edition. 63(50). e202411596–e202411596. 3 indexed citations
4.
Kepesidis, Kosmas V., Frank Fleischmann, Birgit Linkohr, et al.. (2024). Plasma infrared fingerprinting with machine learning enables single-measurement multi-phenotype health screening. Cell Reports Medicine. 5(7). 101625–101625. 5 indexed citations
5.
Huber, Marinus, Barbara Obermayer‐Pietsch, Birgit Linkohr, et al.. (2024). CODI: Enhancing machine learning-based molecular profiling through contextual out-of-distribution integration. PNAS Nexus. 3(10). pgae449–pgae449. 2 indexed citations
6.
Huber, Marinus, Kosmas V. Kepesidis, Frank Fleischmann, et al.. (2021). Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer. eLife. 10. 26 indexed citations
7.
Pupeza, Ioachim, Marinus Huber, Michael K. Trubetskov, et al.. (2020). Field-resolved infrared spectroscopy of biological systems. Nature. 577(7788). 52–59. 190 indexed citations breakdown →
8.
Herrmann, Sylvie, Thorsten E. E. Grams, Mika Tarkka, et al.. (2016). Endogenous rhythmic growth, a trait suitable for the study of interplays between multitrophic interactions and tree development. Perspectives in Plant Ecology Evolution and Systematics. 19. 40–48. 19 indexed citations
9.
Herrmann, Sylvie, Lasse Feldhahn, Oğuzhan Angay, et al.. (2015). Endogenous rhythmic growth in oak trees is regulated by internal clocks rather than resource availability. Journal of Experimental Botany. 66(22). 7113–7127. 26 indexed citations
10.
11.
Severino, Valeria, Annarita Farina, Frank Fleischmann, et al.. (2014). Molecular Profiling of the Phytophthora plurivora Secretome: A Step towards Understanding the Cross-Talk between Plant Pathogenic Oomycetes and Their Hosts. PLoS ONE. 9(11). e112317–e112317. 15 indexed citations
12.
Kuptz, Daniel, Frank Fleischmann, Rainer Matyssek, & Thorsten E. E. Grams. (2011). Seasonal patterns of carbon allocation to respiratory pools in 60‐yr‐old deciduous (Fagus sylvatica) and evergreen (Picea abies) trees assessed via whole‐tree stable carbon isotope labeling. New Phytologist. 191(1). 160–172. 93 indexed citations
13.
Fleischmann, Frank, Stefan Raidl, & W. Oßwald. (2009). Changes in susceptibility of beech (Fagus sylvatica) seedlings towards Phytophthora citricola under the influence of elevated atmospheric CO2 and nitrogen fertilization. Environmental Pollution. 158(4). 1051–1060. 21 indexed citations
14.
Fleischmann, Frank, et al.. (2008). Photosynthetic and leaf water potential responses of Alnus glutinosa saplings to stem-base inoculaton with Phytophthora alni subsp. alni. Tree Physiology. 28(11). 1703–1711. 19 indexed citations
15.
Aneja, Manish K., Shilpi Sharma, Frank Fleischmann, et al.. (2007). Influence of Ozone on Litter Quality and Its Subsequent Effects on the Initial Structure of Colonizing Microbial Communities. Microbial Ecology. 54(1). 151–160. 11 indexed citations
16.
Aneja, Manish K., Shilpi Sharma, Frank Fleischmann, et al.. (2006). Microbial Colonization of Beech and Spruce Litter—Influence of Decomposition Site and Plant Litter Species on the Diversity of Microbial Community. Microbial Ecology. 52(1). 127–135. 177 indexed citations
17.
Schloter, Michael, Jana Barbro Winkler, Manish K. Aneja, et al.. (2005). Short Term Effects of Ozone on the Plant-Rhizosphere-Bulk Soil System of Young Beech Trees. Plant Biology. 7(6). 728–736. 32 indexed citations
20.
Oßwald, W., et al.. (2001). Significance of Phytophthoras and Pythium for oak, alder and spruce decline.. Journal of Forest Science. 47. 96–103. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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